Triple
T3880988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DFC |
E92820
|
entity |
| Predicate | hasAwardClass |
P1498
|
FINISHED |
| Object | individual decoration |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: individual decoration | Statement: [DFC, hasAwardClass, individual decoration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardClass Context triple: [DFC, hasAwardClass, individual decoration]
-
A.
hasAwardLevel
Indicates that an entity possesses or has been assigned a specific level, tier, or rank within an award or recognition system.
-
B.
hasAwardItem
Indicates that an entity possesses, is associated with, or has been granted a specific award item.
-
C.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
-
D.
hasAwardCategoryWithin
Indicates that an award belongs to or is classified under a specific award category within a broader award system or hierarchy.
-
E.
awardClass
chosen
Indicates the classification or category assigned to an award within an award-giving system.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69aed9697de0819087c2559295ff3d12 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aef1515c688190a38332aedeed8a76 |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee7574c408190893e70bf80514838 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:20 p.m.